Overview

Dataset statistics

Number of variables	40
Number of observations	700
Missing cells	760
Missing cells (%)	2.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	998.6 KiB
Average record size in memory	1.4 KiB

Variable types

Numeric	14
DateTime	2
Categorical	22
Text	1
Unsupported	1

Alerts

`age` is highly overall correlated with `months_as_customer`	High correlation
`auto_make` is highly overall correlated with `auto_model`	High correlation
`auto_model` is highly overall correlated with `auto_make`	High correlation
`collision_type` is highly overall correlated with `incident_type` and 4 other fields	High correlation
`incident_type` is highly overall correlated with `collision_type` and 5 other fields	High correlation
`injury_claim` is highly overall correlated with `collision_type` and 4 other fields	High correlation
`months_as_customer` is highly overall correlated with `age`	High correlation
`number_of_vehicles_involved` is highly overall correlated with `incident_type`	High correlation
`property_claim` is highly overall correlated with `collision_type` and 4 other fields	High correlation
`total_claim_amount` is highly overall correlated with `collision_type` and 4 other fields	High correlation
`vehicle_claim` is highly overall correlated with `collision_type` and 4 other fields	High correlation
`authorities_contacted` has 60 (8.6%) missing values	Missing
`_c39` has 700 (100.0%) missing values	Missing
`policy_number` has unique values	Unique
`incident_location` has unique values	Unique
`_c39` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`umbrella_limit` has 557 (79.6%) zeros	Zeros
`capital-gains` has 347 (49.6%) zeros	Zeros
`capital-loss` has 343 (49.0%) zeros	Zeros
`incident_hour_of_the_day` has 35 (5.0%) zeros	Zeros
`injury_claim` has 19 (2.7%) zeros	Zeros
`property_claim` has 14 (2.0%) zeros	Zeros

Reproduction

Analysis started	2026-02-26 07:59:02.706467
Analysis finished	2026-02-26 07:59:24.697433
Duration	21.99 seconds
Software version	ydata-profiling vv4.18.1
Download configuration	config.json

months_as_customer
Real number (ℝ)

High correlation

Distinct	336
Distinct (%)	48.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	205.89429

Minimum	0
Maximum	479
Zeros	1
Zeros (%)	0.1%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	28.9
Q1	114
median	202
Q3	279
95-th percentile	431.2
Maximum	479
Range	479
Interquartile range (IQR)	165

Descriptive statistics

Standard deviation	116.01871
Coefficient of variation (CV)	0.56348678
Kurtosis	-0.50243659
Mean	205.89429
Median Absolute Deviation (MAD)	82
Skewness	0.36509398
Sum	144126
Variance	13460.341
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
210	6	0.9%
140	6	0.9%
289	6	0.9%
259	6	0.9%
230	6	0.9%
245	5	0.7%
107	5	0.7%
128	5	0.7%
254	5	0.7%
156	5	0.7%
Other values (326)	645	92.1%

Value	Count	Frequency (%)
0	1	0.1%
1	3	0.4%
2	2	0.3%
3	1	0.1%
4	2	0.3%
5	1	0.1%
8	3	0.4%
9	1	0.1%
10	1	0.1%
11	1	0.1%

Value	Count	Frequency (%)
479	1	0.1%
478	2	0.3%
475	2	0.3%
473	1	0.1%
472	1	0.1%
467	1	0.1%
465	1	0.1%
464	1	0.1%
463	1	0.1%
461	2	0.3%

age
Real number (ℝ)

High correlation

Distinct	45
Distinct (%)	6.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39.105714

Minimum	20
Maximum	64
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	20
5-th percentile	26
Q1	32
median	38
Q3	45
95-th percentile	57
Maximum	64
Range	44
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.1662578
Coefficient of variation (CV)	0.23439689
Kurtosis	-0.31860974
Mean	39.105714
Median Absolute Deviation (MAD)	6
Skewness	0.52929296
Sum	27374
Variance	84.020282
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
34	37	5.3%
43	33	4.7%
33	32	4.6%
41	31	4.4%
31	29	4.1%
39	29	4.1%
30	28	4.0%
32	28	4.0%
37	27	3.9%
38	26	3.7%
Other values (35)	400	57.1%

Value	Count	Frequency (%)
20	1	0.1%
21	1	0.1%
22	1	0.1%
23	3	0.4%
24	3	0.4%
25	11	1.6%
26	22	3.1%
27	20	2.9%
28	17	2.4%
29	26	3.7%

Value	Count	Frequency (%)
64	2	0.3%
63	2	0.3%
62	3	0.4%
61	6	0.9%
60	5	0.7%
59	3	0.4%
58	7	1.0%
57	14	2.0%
56	7	1.0%
55	9	1.3%

policy_number
Real number (ℝ)

Unique

Distinct	700
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	549242.08

Minimum	100804
Maximum	999435
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	100804
5-th percentile	139393.55
Q1	343282.75
median	536799
Q3	757918
95-th percentile	960775.55
Maximum	999435
Range	898631
Interquartile range (IQR)	414635.25

Descriptive statistics

Standard deviation	258480.46
Coefficient of variation (CV)	0.470613
Kurtosis	-1.1114084
Mean	549242.08
Median Absolute Deviation (MAD)	206605.5
Skewness	0.022542976
Sum	3.8446945 × 10⁸
Variance	6.681215 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
596298	1	0.1%
125591	1	0.1%
967713	1	0.1%
649082	1	0.1%
519312	1	0.1%
190588	1	0.1%
670142	1	0.1%
751612	1	0.1%
237418	1	0.1%
315041	1	0.1%
Other values (690)	690	98.6%

Value	Count	Frequency (%)
100804	1	0.1%
101421	1	0.1%
104594	1	0.1%
106186	1	0.1%
107181	1	0.1%
108844	1	0.1%
109392	1	0.1%
110084	1	0.1%
110122	1	0.1%
110143	1	0.1%

Value	Count	Frequency (%)
999435	1	0.1%
998865	1	0.1%
998192	1	0.1%
996850	1	0.1%
996253	1	0.1%
994538	1	0.1%
993840	1	0.1%
992145	1	0.1%
991553	1	0.1%
991480	1	0.1%

policy_bind_date
Date

Distinct	673
Distinct (%)	96.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Minimum	1990-01-08 00:00:00
Maximum	2015-02-22 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

policy_state
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	40.5 KiB

OH	249
IL	237
IN	214

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1400
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IN
2nd row	IL
3rd row	IL
4th row	OH
5th row	OH

Common Values

Value	Count	Frequency (%)
OH	249	35.6%
IL	237	33.9%
IN	214	30.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
oh	249	35.6%
il	237	33.9%
in	214	30.6%

Most occurring characters

Value	Count	Frequency (%)
I	451	32.2%
O	249	17.8%
H	249	17.8%
L	237	16.9%
N	214	15.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1400	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
I	451	32.2%
O	249	17.8%
H	249	17.8%
L	237	16.9%
N	214	15.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1400	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
I	451	32.2%
O	249	17.8%
H	249	17.8%
L	237	16.9%
N	214	15.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1400	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
I	451	32.2%
O	249	17.8%
H	249	17.8%
L	237	16.9%
N	214	15.3%

policy_csl
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	44.1 KiB

100/300	259
250/500	248
500/1000	193

Length

Max length	8
Median length	7
Mean length	7.2757143
Min length	7

Characters and Unicode

Total characters	5093
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	500/1000
2nd row	250/500
3rd row	500/1000
4th row	500/1000
5th row	100/300

Common Values

Value	Count	Frequency (%)
100/300	259	37.0%
250/500	248	35.4%
500/1000	193	27.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
100/300	259	37.0%
250/500	248	35.4%
500/1000	193	27.6%

Most occurring characters

Value	Count	Frequency (%)
0	2745	53.9%
/	700	13.7%
5	689	13.5%
1	452	8.9%
3	259	5.1%
2	248	4.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5093	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2745	53.9%
/	700	13.7%
5	689	13.5%
1	452	8.9%
3	259	5.1%
2	248	4.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5093	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2745	53.9%
/	700	13.7%
5	689	13.5%
1	452	8.9%
3	259	5.1%
2	248	4.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5093	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2745	53.9%
/	700	13.7%
5	689	13.5%
1	452	8.9%
3	259	5.1%
2	248	4.9%

policy_deductable
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	41.6 KiB

1000	250
500	231
2000	219

Length

Max length	4
Median length	4
Mean length	3.67
Min length	3

Characters and Unicode

Total characters	2569
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1000
2nd row	500
3rd row	1000
4th row	500
5th row	1000

Common Values

Value	Count	Frequency (%)
1000	250	35.7%
500	231	33.0%
2000	219	31.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1000	250	35.7%
500	231	33.0%
2000	219	31.3%

Most occurring characters

Value	Count	Frequency (%)
0	1869	72.8%
1	250	9.7%
5	231	9.0%
2	219	8.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2569	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	1869	72.8%
1	250	9.7%
5	231	9.0%
2	219	8.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2569	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	1869	72.8%
1	250	9.7%
5	231	9.0%
2	219	8.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2569	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	1869	72.8%
1	250	9.7%
5	231	9.0%
2	219	8.5%

policy_annual_premium
Real number (ℝ)

Distinct	694
Distinct (%)	99.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1245.9763

Minimum	433.33
Maximum	2047.59
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	433.33
5-th percentile	836.0555
Q1	1077.46
median	1252.28
Q3	1402.7575
95-th percentile	1633.37
Maximum	2047.59
Range	1614.26
Interquartile range (IQR)	325.2975

Descriptive statistics

Standard deviation	248.3109
Coefficient of variation (CV)	0.19929023
Kurtosis	0.15696392
Mean	1245.9763
Median Absolute Deviation (MAD)	168.6
Skewness	0.026410046
Sum	872183.39
Variance	61658.303
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1074.07	2	0.3%
1389.13	2	0.3%
1558.29	2	0.3%
1073.83	2	0.3%
1362.87	2	0.3%
1281.25	2	0.3%
1238.65	1	0.1%
1464.73	1	0.1%
1330.46	1	0.1%
796.35	1	0.1%
Other values (684)	684	97.7%

Value	Count	Frequency (%)
433.33	1	0.1%
484.67	1	0.1%
538.17	1	0.1%
566.11	1	0.1%
617.11	1	0.1%
664.86	1	0.1%
671.01	1	0.1%
671.92	1	0.1%
694.45	1	0.1%
709.14	1	0.1%

Value	Count	Frequency (%)
2047.59	1	0.1%
1935.85	1	0.1%
1927.87	1	0.1%
1922.84	1	0.1%
1896.91	1	0.1%
1878.44	1	0.1%
1865.83	1	0.1%
1863.04	1	0.1%
1861.43	1	0.1%
1851.78	1	0.1%

umbrella_limit
Real number (ℝ)

Zeros

Distinct	11
Distinct (%)	1.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1100000

Minimum	-1000000
Maximum	10000000
Zeros	557
Zeros (%)	79.6%
Negative	1
Negative (%)	0.1%
Memory size	5.6 KiB

Quantile statistics

Minimum	-1000000
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	6000000
Maximum	10000000
Range	11000000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2282921.6
Coefficient of variation (CV)	2.0753833
Kurtosis	1.6657313
Mean	1100000
Median Absolute Deviation (MAD)	0
Skewness	1.7822911
Sum	7.7 × 10⁸
Variance	5.211731 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
0	557	79.6%
6000000	38	5.4%
5000000	34	4.9%
4000000	28	4.0%
7000000	21	3.0%
3000000	8	1.1%
8000000	7	1.0%
2000000	3	0.4%
9000000	2	0.3%
10000000	1	0.1%

Value	Count	Frequency (%)
-1000000	1	0.1%
0	557	79.6%
2000000	3	0.4%
3000000	8	1.1%
4000000	28	4.0%
5000000	34	4.9%
6000000	38	5.4%
7000000	21	3.0%
8000000	7	1.0%
9000000	2	0.3%

Value	Count	Frequency (%)
10000000	1	0.1%
9000000	2	0.3%
8000000	7	1.0%
7000000	21	3.0%
6000000	38	5.4%
5000000	34	4.9%
4000000	28	4.0%
3000000	8	1.1%
2000000	3	0.4%
0	557	79.6%

insured_zip
Real number (ℝ)

Distinct	699
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	501432.61

Minimum	430104
Maximum	620962
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	430104
5-th percentile	433246.7
Q1	447978.25
median	466242
Q3	603946
95-th percentile	617701
Maximum	620962
Range	190858
Interquartile range (IQR)	155967.75

Descriptive statistics

Standard deviation	72210.252
Coefficient of variation (CV)	0.14400789
Kurtosis	-1.2077346
Mean	501432.61
Median Absolute Deviation (MAD)	22351.5
Skewness	0.80913098
Sum	3.5100283 × 10⁸
Variance	5.2143204 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
431202	2	0.3%
435552	1	0.1%
450947	1	0.1%
600208	1	0.1%
431277	1	0.1%
435489	1	0.1%
614166	1	0.1%
474167	1	0.1%
443861	1	0.1%
441536	1	0.1%
Other values (689)	689	98.4%

Value	Count	Frequency (%)
430104	1	0.1%
430141	1	0.1%
430232	1	0.1%
430380	1	0.1%
430621	1	0.1%
430832	1	0.1%
430853	1	0.1%
430878	1	0.1%
430886	1	0.1%
430987	1	0.1%

Value	Count	Frequency (%)
620962	1	0.1%
620819	1	0.1%
620757	1	0.1%
620507	1	0.1%
620358	1	0.1%
620207	1	0.1%
620197	1	0.1%
619892	1	0.1%
619884	1	0.1%
619811	1	0.1%

insured_sex
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	42.5 KiB

FEMALE	370
MALE	330

Length

Max length	6
Median length	6
Mean length	5.0571429
Min length	4

Characters and Unicode

Total characters	3540
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	FEMALE
2nd row	MALE
3rd row	FEMALE
4th row	MALE
5th row	FEMALE

Common Values

Value	Count	Frequency (%)
FEMALE	370	52.9%
MALE	330	47.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	370	52.9%
male	330	47.1%

Most occurring characters

Value	Count	Frequency (%)
E	1070	30.2%
A	700	19.8%
M	700	19.8%
L	700	19.8%
F	370	10.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3540	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	1070	30.2%
A	700	19.8%
M	700	19.8%
L	700	19.8%
F	370	10.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3540	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	1070	30.2%
A	700	19.8%
M	700	19.8%
L	700	19.8%
F	370	10.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3540	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	1070	30.2%
A	700	19.8%
M	700	19.8%
L	700	19.8%
F	370	10.5%

insured_education_level
Categorical

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	43.1 KiB

JD	120
High School	105
Associate	105
Masters	99
MD	93
Other values (2)	178

Length

Max length	11
Median length	9
Mean length	5.8814286
Min length	2

Characters and Unicode

Total characters	4117
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Masters
2nd row	JD
3rd row	High School
4th row	JD
5th row	MD

Common Values

Value	Count	Frequency (%)
JD	120	17.1%
High School	105	15.0%
Associate	105	15.0%
Masters	99	14.1%
MD	93	13.3%
College	91	13.0%
PhD	87	12.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
jd	120	14.9%
high	105	13.0%
school	105	13.0%
associate	105	13.0%
masters	99	12.3%
md	93	11.6%
college	91	11.3%
phd	87	10.8%

Most occurring characters

Value	Count	Frequency (%)
s	408	9.9%
o	406	9.9%
e	386	9.4%
D	300	7.3%
h	297	7.2%
l	287	7.0%
i	210	5.1%
c	210	5.1%
t	204	5.0%
a	204	5.0%
Other values (10)	1205	29.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4117	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	408	9.9%
o	406	9.9%
e	386	9.4%
D	300	7.3%
h	297	7.2%
l	287	7.0%
i	210	5.1%
c	210	5.1%
t	204	5.0%
a	204	5.0%
Other values (10)	1205	29.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4117	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	408	9.9%
o	406	9.9%
e	386	9.4%
D	300	7.3%
h	297	7.2%
l	287	7.0%
i	210	5.1%
c	210	5.1%
t	204	5.0%
a	204	5.0%
Other values (10)	1205	29.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4117	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	408	9.9%
o	406	9.9%
e	386	9.4%
D	300	7.3%
h	297	7.2%
l	287	7.0%
i	210	5.1%
c	210	5.1%
t	204	5.0%
a	204	5.0%
Other values (10)	1205	29.3%

insured_occupation
Categorical

Distinct	14
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	48.3 KiB

machine-op-inspct	66
exec-managerial	57
craft-repair	54
sales	54
prof-specialty	53
Other values (9)	416

Length

Max length	17
Median length	16
Mean length	13.53
Min length	5

Characters and Unicode

Total characters	9471
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	protective-serv
2nd row	craft-repair
3rd row	machine-op-inspct
4th row	transport-moving
5th row	craft-repair

Common Values

Value	Count	Frequency (%)
machine-op-inspct	66	9.4%
exec-managerial	57	8.1%
craft-repair	54	7.7%
sales	54	7.7%
prof-specialty	53	7.6%
priv-house-serv	52	7.4%
armed-forces	51	7.3%
tech-support	50	7.1%
transport-moving	50	7.1%
other-service	47	6.7%
Other values (4)	166	23.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
machine-op-inspct	66	9.4%
exec-managerial	57	8.1%
craft-repair	54	7.7%
sales	54	7.7%
prof-specialty	53	7.6%
priv-house-serv	52	7.4%
armed-forces	51	7.3%
tech-support	50	7.1%
transport-moving	50	7.1%
other-service	47	6.7%
Other values (4)	166	23.7%

Most occurring characters

Value	Count	Frequency (%)
e	1077	11.4%
r	967	10.2%
-	764	8.1%
a	761	8.0%
s	688	7.3%
i	657	6.9%
c	613	6.5%
p	535	5.6%
t	502	5.3%
o	460	4.9%
Other values (11)	2447	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9471	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1077	11.4%
r	967	10.2%
-	764	8.1%
a	761	8.0%
s	688	7.3%
i	657	6.9%
c	613	6.5%
p	535	5.6%
t	502	5.3%
o	460	4.9%
Other values (11)	2447	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9471	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1077	11.4%
r	967	10.2%
-	764	8.1%
a	761	8.0%
s	688	7.3%
i	657	6.9%
c	613	6.5%
p	535	5.6%
t	502	5.3%
o	460	4.9%
Other values (11)	2447	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9471	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1077	11.4%
r	967	10.2%
-	764	8.1%
a	761	8.0%
s	688	7.3%
i	657	6.9%
c	613	6.5%
p	535	5.6%
t	502	5.3%
o	460	4.9%
Other values (11)	2447	25.8%

insured_hobbies
Categorical

Distinct	20
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	44.6 KiB

exercise	45
bungie-jumping	44
golf	42
polo	41
movies	41
Other values (15)	487

Length

Max length	14
Median length	10
Mean length	8.0371429
Min length	4

Characters and Unicode

Total characters	5626
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	reading
2nd row	polo
3rd row	skydiving
4th row	video-games
5th row	video-games

Common Values

Value	Count	Frequency (%)
exercise	45	6.4%
bungie-jumping	44	6.3%
golf	42	6.0%
polo	41	5.9%
movies	41	5.9%
paintball	40	5.7%
reading	38	5.4%
kayaking	38	5.4%
yachting	38	5.4%
camping	38	5.4%
Other values (10)	295	42.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
exercise	45	6.4%
bungie-jumping	44	6.3%
golf	42	6.0%
polo	41	5.9%
movies	41	5.9%
paintball	40	5.7%
reading	38	5.4%
kayaking	38	5.4%
yachting	38	5.4%
camping	38	5.4%
Other values (10)	295	42.1%

Most occurring characters

Value	Count	Frequency (%)
i	644	11.4%
g	496	8.8%
e	488	8.7%
n	465	8.3%
a	459	8.2%
s	379	6.7%
o	248	4.4%
l	231	4.1%
p	228	4.1%
m	216	3.8%
Other values (14)	1772	31.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5626	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	644	11.4%
g	496	8.8%
e	488	8.7%
n	465	8.3%
a	459	8.2%
s	379	6.7%
o	248	4.4%
l	231	4.1%
p	228	4.1%
m	216	3.8%
Other values (14)	1772	31.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5626	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	644	11.4%
g	496	8.8%
e	488	8.7%
n	465	8.3%
a	459	8.2%
s	379	6.7%
o	248	4.4%
l	231	4.1%
p	228	4.1%
m	216	3.8%
Other values (14)	1772	31.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5626	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	644	11.4%
g	496	8.8%
e	488	8.7%
n	465	8.3%
a	459	8.2%
s	379	6.7%
o	248	4.4%
l	231	4.1%
p	228	4.1%
m	216	3.8%
Other values (14)	1772	31.5%

insured_relationship
Categorical

Distinct	6
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	45.6 KiB

own-child	130
other-relative	126
husband	125
not-in-family	123
wife	105

Length

Max length	14
Median length	9
Mean length	9.4957143
Min length	4

Characters and Unicode

Total characters	6647
Distinct characters	20
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	not-in-family
2nd row	other-relative
3rd row	wife
4th row	own-child
5th row	own-child

Common Values

Value	Count	Frequency (%)
own-child	130	18.6%
other-relative	126	18.0%
husband	125	17.9%
not-in-family	123	17.6%
wife	105	15.0%
unmarried	91	13.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
own-child	130	18.6%
other-relative	126	18.0%
husband	125	17.9%
not-in-family	123	17.6%
wife	105	15.0%
unmarried	91	13.0%

Most occurring characters

Value	Count	Frequency (%)
i	698	10.5%
n	592	8.9%
e	574	8.6%
-	502	7.6%
a	465	7.0%
r	434	6.5%
h	381	5.7%
o	379	5.7%
l	379	5.7%
t	375	5.6%
Other values (10)	1868	28.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6647	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	698	10.5%
n	592	8.9%
e	574	8.6%
-	502	7.6%
a	465	7.0%
r	434	6.5%
h	381	5.7%
o	379	5.7%
l	379	5.7%
t	375	5.6%
Other values (10)	1868	28.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6647	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	698	10.5%
n	592	8.9%
e	574	8.6%
-	502	7.6%
a	465	7.0%
r	434	6.5%
h	381	5.7%
o	379	5.7%
l	379	5.7%
t	375	5.6%
Other values (10)	1868	28.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6647	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	698	10.5%
n	592	8.9%
e	574	8.6%
-	502	7.6%
a	465	7.0%
r	434	6.5%
h	381	5.7%
o	379	5.7%
l	379	5.7%
t	375	5.6%
Other values (10)	1868	28.1%

capital-gains
Real number (ℝ)

Zeros

Distinct	270
Distinct (%)	38.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	25804.857

Minimum	0
Maximum	100500
Zeros	347
Zeros (%)	49.6%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	11550
Q3	51400
95-th percentile	70915
Maximum	100500
Range	100500
Interquartile range (IQR)	51400

Descriptive statistics

Standard deviation	28043.4
Coefficient of variation (CV)	1.0867489
Kurtosis	-1.3287833
Mean	25804.857
Median Absolute Deviation (MAD)	11550
Skewness	0.43786012
Sum	18063400
Variance	7.8643231 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	347	49.6%
51500	4	0.6%
46300	4	0.6%
51400	3	0.4%
53200	3	0.4%
49700	3	0.4%
67800	3	0.4%
46700	3	0.4%
59600	3	0.4%
44000	3	0.4%
Other values (260)	324	46.3%

Value	Count	Frequency (%)
0	347	49.6%
800	1	0.1%
10000	1	0.1%
11000	1	0.1%
12100	1	0.1%
12800	1	0.1%
13100	1	0.1%
14100	1	0.1%
16100	1	0.1%
17600	1	0.1%

Value	Count	Frequency (%)
100500	1	0.1%
91900	1	0.1%
90700	1	0.1%
88800	1	0.1%
88400	1	0.1%
84900	1	0.1%
83600	1	0.1%
83200	1	0.1%
82600	1	0.1%
82400	1	0.1%

capital-loss
Real number (ℝ)

Zeros

Distinct	276
Distinct (%)	39.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-26228

Minimum	-111100
Maximum	0
Zeros	343
Zeros (%)	49.0%
Negative	357
Negative (%)	51.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	-111100
5-th percentile	-72520
Q1	-51275
median	-15650
Q3	0
95-th percentile	0
Maximum	0
Range	111100
Interquartile range (IQR)	51275

Descriptive statistics

Standard deviation	28422.992
Coefficient of variation (CV)	-1.0836889
Kurtosis	-1.2737862
Mean	-26228
Median Absolute Deviation (MAD)	15650
Skewness	-0.45453952
Sum	-18359600
Variance	8.0786645 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	343	49.0%
-53800	4	0.6%
-31400	4	0.6%
-61400	4	0.6%
-51000	4	0.6%
-49200	3	0.4%
-53700	3	0.4%
-49000	3	0.4%
-55600	3	0.4%
-50000	3	0.4%
Other values (266)	326	46.6%

Value	Count	Frequency (%)
-111100	1	0.1%
-91400	1	0.1%
-91200	1	0.1%
-90200	1	0.1%
-90100	1	0.1%
-88300	1	0.1%
-87300	1	0.1%
-85900	1	0.1%
-83900	1	0.1%
-83200	1	0.1%

Value	Count	Frequency (%)
0	343	49.0%
-6300	1	0.1%
-8500	1	0.1%
-10600	1	0.1%
-12100	1	0.1%
-13200	1	0.1%
-13800	1	0.1%
-15600	1	0.1%
-15700	1	0.1%
-15900	1	0.1%

incident_date
Date

Distinct	60
Distinct (%)	8.6%
Missing	0
Missing (%)	0.0%
Memory size	5.6 KiB

Minimum	2015-01-01 00:00:00
Maximum	2015-03-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

incident_type
Categorical

High correlation

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	53.7 KiB

Multi-vehicle Collision	302
Single Vehicle Collision	275
Vehicle Theft	68
Parked Car	55

Length

Max length	24
Median length	23
Mean length	21.4
Min length	10

Characters and Unicode

Total characters	14980
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Single Vehicle Collision
2nd row	Multi-vehicle Collision
3rd row	Single Vehicle Collision
4th row	Multi-vehicle Collision
5th row	Multi-vehicle Collision

Common Values

Value	Count	Frequency (%)
Multi-vehicle Collision	302	43.1%
Single Vehicle Collision	275	39.3%
Vehicle Theft	68	9.7%
Parked Car	55	7.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
collision	577	34.4%
vehicle	343	20.5%
multi-vehicle	302	18.0%
single	275	16.4%
theft	68	4.1%
parked	55	3.3%
car	55	3.3%

Most occurring characters

Value	Count	Frequency (%)
l	2376	15.9%
i	2376	15.9%
e	1688	11.3%
o	1154	7.7%
	975	6.5%
n	852	5.7%
h	713	4.8%
c	645	4.3%
C	632	4.2%
s	577	3.9%
Other values (15)	2992	20.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14980	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	2376	15.9%
i	2376	15.9%
e	1688	11.3%
o	1154	7.7%
	975	6.5%
n	852	5.7%
h	713	4.8%
c	645	4.3%
C	632	4.2%
s	577	3.9%
Other values (15)	2992	20.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14980	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	2376	15.9%
i	2376	15.9%
e	1688	11.3%
o	1154	7.7%
	975	6.5%
n	852	5.7%
h	713	4.8%
c	645	4.3%
C	632	4.2%
s	577	3.9%
Other values (15)	2992	20.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14980	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	2376	15.9%
i	2376	15.9%
e	1688	11.3%
o	1154	7.7%
	975	6.5%
n	852	5.7%
h	713	4.8%
c	645	4.3%
C	632	4.2%
s	577	3.9%
Other values (15)	2992	20.0%

collision_type
Categorical

High correlation

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	47.3 KiB

Rear Collision	208
Side Collision	194
Front Collision	175
?	123

Length

Max length	15
Median length	14
Mean length	11.965714
Min length	1

Characters and Unicode

Total characters	8376
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Side Collision
2nd row	Side Collision
3rd row	Side Collision
4th row	Front Collision
5th row	Rear Collision

Common Values

Value	Count	Frequency (%)
Rear Collision	208	29.7%
Side Collision	194	27.7%
Front Collision	175	25.0%
?	123	17.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
collision	577	45.2%
rear	208	16.3%
side	194	15.2%
front	175	13.7%
	123	9.6%

Most occurring characters

Value	Count	Frequency (%)
i	1348	16.1%
o	1329	15.9%
l	1154	13.8%
n	752	9.0%
	577	6.9%
s	577	6.9%
C	577	6.9%
e	402	4.8%
r	383	4.6%
a	208	2.5%
Other values (6)	1069	12.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8376	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1348	16.1%
o	1329	15.9%
l	1154	13.8%
n	752	9.0%
	577	6.9%
s	577	6.9%
C	577	6.9%
e	402	4.8%
r	383	4.6%
a	208	2.5%
Other values (6)	1069	12.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8376	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1348	16.1%
o	1329	15.9%
l	1154	13.8%
n	752	9.0%
	577	6.9%
s	577	6.9%
C	577	6.9%
e	402	4.8%
r	383	4.6%
a	208	2.5%
Other values (6)	1069	12.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8376	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1348	16.1%
o	1329	15.9%
l	1154	13.8%
n	752	9.0%
	577	6.9%
s	577	6.9%
C	577	6.9%
e	402	4.8%
r	383	4.6%
a	208	2.5%
Other values (6)	1069	12.8%

incident_severity
Categorical

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	47.0 KiB

Minor Damage	237
Major Damage	200
Total Loss	199
Trivial Damage	64

Length

Max length	14
Median length	12
Mean length	11.614286
Min length	10

Characters and Unicode

Total characters	8130
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Total Loss
2nd row	Minor Damage
3rd row	Total Loss
4th row	Major Damage
5th row	Total Loss

Common Values

Value	Count	Frequency (%)
Minor Damage	237	33.9%
Major Damage	200	28.6%
Total Loss	199	28.4%
Trivial Damage	64	9.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
damage	501	35.8%
minor	237	16.9%
major	200	14.3%
total	199	14.2%
loss	199	14.2%
trivial	64	4.6%

Most occurring characters

Value	Count	Frequency (%)
a	1465	18.0%
o	835	10.3%
	700	8.6%
D	501	6.2%
m	501	6.2%
r	501	6.2%
g	501	6.2%
e	501	6.2%
M	437	5.4%
s	398	4.9%
Other values (8)	1790	22.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	8130	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1465	18.0%
o	835	10.3%
	700	8.6%
D	501	6.2%
m	501	6.2%
r	501	6.2%
g	501	6.2%
e	501	6.2%
M	437	5.4%
s	398	4.9%
Other values (8)	1790	22.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	8130	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1465	18.0%
o	835	10.3%
	700	8.6%
D	501	6.2%
m	501	6.2%
r	501	6.2%
g	501	6.2%
e	501	6.2%
M	437	5.4%
s	398	4.9%
Other values (8)	1790	22.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	8130	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1465	18.0%
o	835	10.3%
	700	8.6%
D	501	6.2%
m	501	6.2%
r	501	6.2%
g	501	6.2%
e	501	6.2%
M	437	5.4%
s	398	4.9%
Other values (8)	1790	22.0%

authorities_contacted
Categorical

Missing

Distinct	4
Distinct (%)	0.6%
Missing	60
Missing (%)	8.6%
Memory size	42.8 KiB

Police	199
Fire	153
Ambulance	145
Other	143

Length

Max length	9
Median length	6
Mean length	5.978125
Min length	4

Characters and Unicode

Total characters	3826
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ambulance
2nd row	Other
3rd row	Police
4th row	Fire
5th row	Fire

Common Values

Value	Count	Frequency (%)
Police	199	28.4%
Fire	153	21.9%
Ambulance	145	20.7%
Other	143	20.4%
(Missing)	60	8.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
police	199	31.1%
fire	153	23.9%
ambulance	145	22.7%
other	143	22.3%

Most occurring characters

Value	Count	Frequency (%)
e	640	16.7%
i	352	9.2%
c	344	9.0%
l	344	9.0%
r	296	7.7%
P	199	5.2%
o	199	5.2%
F	153	4.0%
A	145	3.8%
m	145	3.8%
Other values (7)	1009	26.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3826	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	640	16.7%
i	352	9.2%
c	344	9.0%
l	344	9.0%
r	296	7.7%
P	199	5.2%
o	199	5.2%
F	153	4.0%
A	145	3.8%
m	145	3.8%
Other values (7)	1009	26.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3826	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	640	16.7%
i	352	9.2%
c	344	9.0%
l	344	9.0%
r	296	7.7%
P	199	5.2%
o	199	5.2%
F	153	4.0%
A	145	3.8%
m	145	3.8%
Other values (7)	1009	26.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3826	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	640	16.7%
i	352	9.2%
c	344	9.0%
l	344	9.0%
r	296	7.7%
P	199	5.2%
o	199	5.2%
F	153	4.0%
A	145	3.8%
m	145	3.8%
Other values (7)	1009	26.4%

incident_state
Categorical

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	40.5 KiB

NY	187
SC	178
WV	149
NC	78
VA	69
Other values (2)	39

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	1400
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	NC
2nd row	NC
3rd row	WV
4th row	WV
5th row	SC

Common Values

Value	Count	Frequency (%)
NY	187	26.7%
SC	178	25.4%
WV	149	21.3%
NC	78	11.1%
VA	69	9.9%
PA	21	3.0%
OH	18	2.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ny	187	26.7%
sc	178	25.4%
wv	149	21.3%
nc	78	11.1%
va	69	9.9%
pa	21	3.0%
oh	18	2.6%

Most occurring characters

Value	Count	Frequency (%)
N	265	18.9%
C	256	18.3%
V	218	15.6%
Y	187	13.4%
S	178	12.7%
W	149	10.6%
A	90	6.4%
P	21	1.5%
O	18	1.3%
H	18	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1400	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
N	265	18.9%
C	256	18.3%
V	218	15.6%
Y	187	13.4%
S	178	12.7%
W	149	10.6%
A	90	6.4%
P	21	1.5%
O	18	1.3%
H	18	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1400	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
N	265	18.9%
C	256	18.3%
V	218	15.6%
Y	187	13.4%
S	178	12.7%
W	149	10.6%
A	90	6.4%
P	21	1.5%
O	18	1.3%
H	18	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1400	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
N	265	18.9%
C	256	18.3%
V	218	15.6%
Y	187	13.4%
S	178	12.7%
W	149	10.6%
A	90	6.4%
P	21	1.5%
O	18	1.3%
H	18	1.3%

incident_city
Categorical

Distinct	7
Distinct (%)	1.0%
Missing	0
Missing (%)	0.0%
Memory size	45.4 KiB

Springfield	117
Arlington	110
Columbus	108
Hillsdale	96
Northbend	96
Other values (2)	173

Length

Max length	11
Median length	9
Mean length	9.2985714
Min length	8

Characters and Unicode

Total characters	6509
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Riverwood
2nd row	Springfield
3rd row	Northbend
4th row	Northbend
5th row	Northbend

Common Values

Value	Count	Frequency (%)
Springfield	117	16.7%
Arlington	110	15.7%
Columbus	108	15.4%
Hillsdale	96	13.7%
Northbend	96	13.7%
Riverwood	90	12.9%
Northbrook	83	11.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
springfield	117	16.7%
arlington	110	15.7%
columbus	108	15.4%
hillsdale	96	13.7%
northbend	96	13.7%
riverwood	90	12.9%
northbrook	83	11.9%

Most occurring characters

Value	Count	Frequency (%)
o	743	11.4%
l	623	9.6%
r	579	8.9%
i	530	8.1%
n	433	6.7%
d	399	6.1%
e	399	6.1%
t	289	4.4%
b	287	4.4%
g	227	3.5%
Other values (16)	2000	30.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6509	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	743	11.4%
l	623	9.6%
r	579	8.9%
i	530	8.1%
n	433	6.7%
d	399	6.1%
e	399	6.1%
t	289	4.4%
b	287	4.4%
g	227	3.5%
Other values (16)	2000	30.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6509	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	743	11.4%
l	623	9.6%
r	579	8.9%
i	530	8.1%
n	433	6.7%
d	399	6.1%
e	399	6.1%
t	289	4.4%
b	287	4.4%
g	227	3.5%
Other values (16)	2000	30.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6509	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	743	11.4%
l	623	9.6%
r	579	8.9%
i	530	8.1%
n	433	6.7%
d	399	6.1%
e	399	6.1%
t	289	4.4%
b	287	4.4%
g	227	3.5%
Other values (16)	2000	30.7%

incident_location
Text

Unique

Distinct	700
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	49.2 KiB

Length

Max length	23
Median length	20
Mean length	14.811429
Min length	11

Characters and Unicode

Total characters	10368
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	700 ?
Unique (%)	100.0%

Sample

1st row	7082 Oak Ridge
2nd row	9352 Washington Ave
3rd row	5061 Francis Ave
4th row	2457 Washington Ave
5th row	2290 4th Ave

Value	Count	Frequency (%)
lane	130	6.2%
ridge	121	5.8%
drive	121	5.8%
ave	113	5.4%
st	113	5.4%
hwy	102	4.9%
4th	39	1.9%
5th	38	1.8%
texas	36	1.7%
weaver	34	1.6%
Other values (695)	1253	59.7%

Most occurring characters

Value	Count	Frequency (%)
	1400	13.5%
e	900	8.7%
i	435	4.2%
a	432	4.2%
n	367	3.5%
r	348	3.4%
t	324	3.1%
5	322	3.1%
2	310	3.0%
1	308	3.0%
Other values (39)	5222	50.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10368	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1400	13.5%
e	900	8.7%
i	435	4.2%
a	432	4.2%
n	367	3.5%
r	348	3.4%
t	324	3.1%
5	322	3.1%
2	310	3.0%
1	308	3.0%
Other values (39)	5222	50.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10368	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1400	13.5%
e	900	8.7%
i	435	4.2%
a	432	4.2%
n	367	3.5%
r	348	3.4%
t	324	3.1%
5	322	3.1%
2	310	3.0%
1	308	3.0%
Other values (39)	5222	50.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10368	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1400	13.5%
e	900	8.7%
i	435	4.2%
a	432	4.2%
n	367	3.5%
r	348	3.4%
t	324	3.1%
5	322	3.1%
2	310	3.0%
1	308	3.0%
Other values (39)	5222	50.4%

incident_hour_of_the_day
Real number (ℝ)

Zeros

Distinct	24
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11.642857

Minimum	0
Maximum	23
Zeros	35
Zeros (%)	5.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0.95
Q1	5
median	12
Q3	17
95-th percentile	23
Maximum	23
Range	23
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	6.9645243
Coefficient of variation (CV)	0.59818
Kurtosis	-1.2031482
Mean	11.642857
Median Absolute Deviation (MAD)	6
Skewness	-0.044567362
Sum	8150
Variance	48.504598
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
17	38	5.4%
23	36	5.1%
3	36	5.1%
4	35	5.0%
16	35	5.0%
0	35	5.0%
13	34	4.9%
10	32	4.6%
14	31	4.4%
21	31	4.4%
Other values (14)	357	51.0%

Value	Count	Frequency (%)
0	35	5.0%
1	21	3.0%
2	25	3.6%
3	36	5.1%
4	35	5.0%
5	25	3.6%
6	25	3.6%
7	27	3.9%
8	27	3.9%
9	26	3.7%

Value	Count	Frequency (%)
23	36	5.1%
22	24	3.4%
21	31	4.4%
20	24	3.4%
19	29	4.1%
18	28	4.0%
17	38	5.4%
16	35	5.0%
15	27	3.9%
14	31	4.4%

number_of_vehicles_involved
Categorical

High correlation

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	39.8 KiB

1	398
3	251
4	28
2	23

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	700
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	3
3rd row	1
4th row	3
5th row	3

Common Values

Value	Count	Frequency (%)
1	398	56.9%
3	251	35.9%
4	28	4.0%
2	23	3.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	398	56.9%
3	251	35.9%
4	28	4.0%
2	23	3.3%

Most occurring characters

Value	Count	Frequency (%)
1	398	56.9%
3	251	35.9%
4	28	4.0%
2	23	3.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	398	56.9%
3	251	35.9%
4	28	4.0%
2	23	3.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	398	56.9%
3	251	35.9%
4	28	4.0%
2	23	3.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	398	56.9%
3	251	35.9%
4	28	4.0%
2	23	3.3%

property_damage
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	40.4 KiB

?	259
NO	223
YES	218

Length

Max length	3
Median length	2
Mean length	1.9414286
Min length	1

Characters and Unicode

Total characters	1359
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	?
2nd row	?
3rd row	?
4th row	YES
5th row	YES

Common Values

Value	Count	Frequency (%)
?	259	37.0%
NO	223	31.9%
YES	218	31.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	259	37.0%
no	223	31.9%
yes	218	31.1%

Most occurring characters

Value	Count	Frequency (%)
?	259	19.1%
N	223	16.4%
O	223	16.4%
Y	218	16.0%
E	218	16.0%
S	218	16.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1359	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
?	259	19.1%
N	223	16.4%
O	223	16.4%
Y	218	16.0%
E	218	16.0%
S	218	16.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1359	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
?	259	19.1%
N	223	16.4%
O	223	16.4%
Y	218	16.0%
E	218	16.0%
S	218	16.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1359	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
?	259	19.1%
N	223	16.4%
O	223	16.4%
Y	218	16.0%
E	218	16.0%
S	218	16.0%

bodily_injuries
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	39.8 KiB

0	236
2	232
1	232

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	700
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	2
4th row	2
5th row	2

Common Values

Value	Count	Frequency (%)
0	236	33.7%
2	232	33.1%
1	232	33.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	236	33.7%
2	232	33.1%
1	232	33.1%

Most occurring characters

Value	Count	Frequency (%)
0	236	33.7%
2	232	33.1%
1	232	33.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	236	33.7%
2	232	33.1%
1	232	33.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	236	33.7%
2	232	33.1%
1	232	33.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	236	33.7%
2	232	33.1%
1	232	33.1%

witnesses
Categorical

Distinct	4
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	39.8 KiB

1	181
0	177
2	173
3	169

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	700
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	1
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	181	25.9%
0	177	25.3%
2	173	24.7%
3	169	24.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	181	25.9%
0	177	25.3%
2	173	24.7%
3	169	24.1%

Most occurring characters

Value	Count	Frequency (%)
1	181	25.9%
0	177	25.3%
2	173	24.7%
3	169	24.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	181	25.9%
0	177	25.3%
2	173	24.7%
3	169	24.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	181	25.9%
0	177	25.3%
2	173	24.7%
3	169	24.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	181	25.9%
0	177	25.3%
2	173	24.7%
3	169	24.1%

police_report_available
Categorical

Distinct	3
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Memory size	40.4 KiB

?	247
NO	236
YES	217

Length

Max length	3
Median length	2
Mean length	1.9571429
Min length	1

Characters and Unicode

Total characters	1370
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	?
2nd row	YES
3rd row	NO
4th row	YES
5th row	YES

Common Values

Value	Count	Frequency (%)
?	247	35.3%
NO	236	33.7%
YES	217	31.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	247	35.3%
no	236	33.7%
yes	217	31.0%

Most occurring characters

Value	Count	Frequency (%)
?	247	18.0%
N	236	17.2%
O	236	17.2%
Y	217	15.8%
E	217	15.8%
S	217	15.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1370	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
?	247	18.0%
N	236	17.2%
O	236	17.2%
Y	217	15.8%
E	217	15.8%
S	217	15.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1370	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
?	247	18.0%
N	236	17.2%
O	236	17.2%
Y	217	15.8%
E	217	15.8%
S	217	15.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1370	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
?	247	18.0%
N	236	17.2%
O	236	17.2%
Y	217	15.8%
E	217	15.8%
S	217	15.8%

total_claim_amount
Real number (ℝ)

High correlation

Distinct	573
Distinct (%)	81.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	52475.686

Minimum	100
Maximum	114920
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	100
5-th percentile	4396
Q1	41662.5
median	57710
Q3	70072.5
95-th percentile	86805.5
Maximum	114920
Range	114820
Interquartile range (IQR)	28410

Descriptive statistics

Standard deviation	26115.22
Coefficient of variation (CV)	0.49766324
Kurtosis	-0.44172288
Mean	52475.686
Median Absolute Deviation (MAD)	13760
Skewness	-0.60164742
Sum	36732980
Variance	6.820047 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2640	4	0.6%
75400	4	0.6%
53100	3	0.4%
60600	3	0.4%
77440	3	0.4%
61490	3	0.4%
58500	3	0.4%
69300	3	0.4%
84590	3	0.4%
58300	3	0.4%
Other values (563)	668	95.4%

Value	Count	Frequency (%)
100	1	0.1%
1920	1	0.1%
2160	1	0.1%
2250	1	0.1%
2640	4	0.6%
2700	2	0.3%
2800	1	0.1%
2860	1	0.1%
2970	1	0.1%
3080	2	0.3%

Value	Count	Frequency (%)
114920	1	0.1%
108480	1	0.1%
108030	1	0.1%
107900	1	0.1%
105820	1	0.1%
105040	1	0.1%
103560	1	0.1%
99990	1	0.1%
99320	1	0.1%
98280	1	0.1%

injury_claim
Real number (ℝ)

High correlation Zeros

Distinct	504
Distinct (%)	72.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7463.2571

Minimum	0
Maximum	21450
Zeros	19
Zeros (%)	2.7%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	450
Q1	4265
median	6820
Q3	11235
95-th percentile	15784
Maximum	21450
Range	21450
Interquartile range (IQR)	6970

Descriptive statistics

Standard deviation	4890.6091
Coefficient of variation (CV)	0.65529152
Kurtosis	-0.74232691
Mean	7463.2571
Median Absolute Deviation (MAD)	3720
Skewness	0.25317287
Sum	5224280
Variance	23918058
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	19	2.7%
480	7	1.0%
780	5	0.7%
640	5	0.7%
5540	4	0.6%
900	4	0.6%
680	4	0.6%
860	4	0.6%
5710	3	0.4%
630	3	0.4%
Other values (494)	642	91.7%

Value	Count	Frequency (%)
0	19	2.7%
10	1	0.1%
220	1	0.1%
250	1	0.1%
280	1	0.1%
290	1	0.1%
300	2	0.3%
330	2	0.3%
400	1	0.1%
420	3	0.4%

Value	Count	Frequency (%)
21450	1	0.1%
21330	1	0.1%
20700	1	0.1%
18180	1	0.1%
18080	1	0.1%
17880	1	0.1%
17680	1	0.1%
17580	1	0.1%
17460	1	0.1%
17400	1	0.1%

property_claim
Real number (ℝ)

High correlation Zeros

Distinct	506
Distinct (%)	72.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7324.1429

Minimum	0
Maximum	23670
Zeros	14
Zeros (%)	2.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	0
5-th percentile	450
Q1	4420
median	6685
Q3	10825
95-th percentile	15444
Maximum	23670
Range	23670
Interquartile range (IQR)	6405

Descriptive statistics

Standard deviation	4778.111
Coefficient of variation (CV)	0.65237818
Kurtosis	-0.32470775
Mean	7324.1429
Median Absolute Deviation (MAD)	3185
Skewness	0.39928338
Sum	5126900
Variance	22830345
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	14	2.0%
660	4	0.6%
6620	4	0.6%
860	4	0.6%
680	4	0.6%
640	4	0.6%
840	4	0.6%
11080	4	0.6%
480	4	0.6%
5340	3	0.4%
Other values (496)	651	93.0%

Value	Count	Frequency (%)
0	14	2.0%
20	1	0.1%
240	1	0.1%
250	1	0.1%
260	1	0.1%
280	2	0.3%
300	2	0.3%
320	2	0.3%
330	1	0.1%
390	2	0.3%

Value	Count	Frequency (%)
23670	1	0.1%
21630	1	0.1%
21580	1	0.1%
21240	1	0.1%
19950	1	0.1%
19650	1	0.1%
19470	1	0.1%
19260	1	0.1%
19200	1	0.1%
18180	1	0.1%

vehicle_claim
Real number (ℝ)

High correlation

Distinct	561
Distinct (%)	80.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	37688.286

Minimum	70
Maximum	79560
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	70
5-th percentile	3289.5
Q1	29872.5
median	41760
Q3	50417.5
95-th percentile	61777
Maximum	79560
Range	79490
Interquartile range (IQR)	20545

Descriptive statistics

Standard deviation	18695.687
Coefficient of variation (CV)	0.49606094
Kurtosis	-0.4242117
Mean	37688.286
Median Absolute Deviation (MAD)	9700
Skewness	-0.61171744
Sum	26381800
Variance	3.495287 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5040	6	0.9%
44800	5	0.7%
3600	5	0.7%
33600	5	0.7%
3360	4	0.6%
45360	3	0.4%
4620	3	0.4%
42720	3	0.4%
4720	3	0.4%
46160	3	0.4%
Other values (551)	660	94.3%

Value	Count	Frequency (%)
70	1	0.1%
1440	2	0.3%
1680	2	0.3%
1750	1	0.1%
1760	1	0.1%
1960	1	0.1%
1980	1	0.1%
2030	1	0.1%
2080	1	0.1%
2100	2	0.3%

Value	Count	Frequency (%)
79560	1	0.1%
77670	1	0.1%
76400	1	0.1%
75600	1	0.1%
75530	1	0.1%
74790	1	0.1%
73620	1	0.1%
73260	1	0.1%
72720	1	0.1%
72320	2	0.3%

auto_make
Categorical

High correlation

Distinct	14
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Memory size	43.0 KiB

Suburu	57
Nissan	56
Saab	56
Toyota	55
Chevrolet	54
Other values (9)	422

Length

Max length	10
Median length	9
Mean length	5.7671429
Min length	3

Characters and Unicode

Total characters	4037
Distinct characters	33
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Nissan
2nd row	Honda
3rd row	Jeep
4th row	Suburu
5th row	Ford

Common Values

Value	Count	Frequency (%)
Suburu	57	8.1%
Nissan	56	8.0%
Saab	56	8.0%
Toyota	55	7.9%
Chevrolet	54	7.7%
Volkswagen	54	7.7%
Audi	51	7.3%
Dodge	49	7.0%
Ford	49	7.0%
BMW	48	6.9%
Other values (4)	171	24.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
suburu	57	8.1%
nissan	56	8.0%
saab	56	8.0%
toyota	55	7.9%
chevrolet	54	7.7%
volkswagen	54	7.7%
audi	51	7.3%
dodge	49	7.0%
ford	49	7.0%
bmw	48	6.9%
Other values (4)	171	24.4%

Most occurring characters

Value	Count	Frequency (%)
e	439	10.9%
a	357	8.8%
o	354	8.8%
u	264	6.5%
r	248	6.1%
d	233	5.8%
s	212	5.3%
n	148	3.7%
c	130	3.2%
S	113	2.8%
Other values (23)	1539	38.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4037	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	439	10.9%
a	357	8.8%
o	354	8.8%
u	264	6.5%
r	248	6.1%
d	233	5.8%
s	212	5.3%
n	148	3.7%
c	130	3.2%
S	113	2.8%
Other values (23)	1539	38.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4037	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	439	10.9%
a	357	8.8%
o	354	8.8%
u	264	6.5%
r	248	6.1%
d	233	5.8%
s	212	5.3%
n	148	3.7%
c	130	3.2%
S	113	2.8%
Other values (23)	1539	38.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4037	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	439	10.9%
a	357	8.8%
o	354	8.8%
u	264	6.5%
r	248	6.1%
d	233	5.8%
s	212	5.3%
n	148	3.7%
c	130	3.2%
S	113	2.8%
Other values (23)	1539	38.1%

auto_model
Categorical

High correlation

Distinct	39
Distinct (%)	5.6%
Missing	0
Missing (%)	0.0%
Memory size	42.7 KiB

Wrangler	31
RAM	29
A3	28
Passat	28
Jetta	26
Other values (34)	558

Length

Max length	14
Median length	9
Mean length	5.2385714
Min length	2

Characters and Unicode

Total characters	3667
Distinct characters	52
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Maxima
2nd row	Civic
3rd row	Wrangler
4th row	Legacy
5th row	F150

Common Values

Value	Count	Frequency (%)
Wrangler	31	4.4%
RAM	29	4.1%
A3	28	4.0%
Passat	28	4.0%
Jetta	26	3.7%
Legacy	23	3.3%
A5	23	3.3%
Pathfinder	23	3.3%
MDX	23	3.3%
E400	22	3.1%
Other values (29)	444	63.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
wrangler	31	4.3%
ram	29	4.0%
a3	28	3.9%
passat	28	3.9%
jetta	26	3.6%
legacy	23	3.2%
a5	23	3.2%
pathfinder	23	3.2%
mdx	23	3.2%
e400	22	3.0%
Other values (31)	471	64.8%

Most occurring characters

Value	Count	Frequency (%)
a	362	9.9%
e	296	8.1%
r	284	7.7%
i	170	4.6%
o	164	4.5%
t	141	3.8%
l	137	3.7%
s	122	3.3%
n	121	3.3%
M	113	3.1%
Other values (42)	1757	47.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	3667	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	362	9.9%
e	296	8.1%
r	284	7.7%
i	170	4.6%
o	164	4.5%
t	141	3.8%
l	137	3.7%
s	122	3.3%
n	121	3.3%
M	113	3.1%
Other values (42)	1757	47.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	3667	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	362	9.9%
e	296	8.1%
r	284	7.7%
i	170	4.6%
o	164	4.5%
t	141	3.8%
l	137	3.7%
s	122	3.3%
n	121	3.3%
M	113	3.1%
Other values (42)	1757	47.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	3667	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	362	9.9%
e	296	8.1%
r	284	7.7%
i	170	4.6%
o	164	4.5%
t	141	3.8%
l	137	3.7%
s	122	3.3%
n	121	3.3%
M	113	3.1%
Other values (42)	1757	47.9%

auto_year
Real number (ℝ)

Distinct	21
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2004.9314

Minimum	1995
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	5.6 KiB

Quantile statistics

Minimum	1995
5-th percentile	1995
Q1	2000
median	2005
Q3	2010
95-th percentile	2014
Maximum	2015
Range	20
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.9833709
Coefficient of variation (CV)	0.002984327
Kurtosis	-1.1607134
Mean	2004.9314
Median Absolute Deviation (MAD)	5
Skewness	-0.0057857289
Sum	1403452
Variance	35.800728
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
1995	42	6.0%
2002	41	5.9%
2009	40	5.7%
2006	38	5.4%
2005	38	5.4%
2013	36	5.1%
1999	36	5.1%
2003	36	5.1%
2000	35	5.0%
2011	34	4.9%
Other values (11)	324	46.3%

Value	Count	Frequency (%)
1995	42	6.0%
1996	25	3.6%
1997	29	4.1%
1998	31	4.4%
1999	36	5.1%
2000	35	5.0%
2001	29	4.1%
2002	41	5.9%
2003	36	5.1%
2004	28	4.0%

Value	Count	Frequency (%)
2015	31	4.4%
2014	27	3.9%
2013	36	5.1%
2012	32	4.6%
2011	34	4.9%
2010	33	4.7%
2009	40	5.7%
2008	26	3.7%
2007	33	4.7%
2006	38	5.4%

fraud_reported
Categorical

Distinct	2
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	39.8 KiB

0	519
1	181

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	700
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	519	74.1%
1	181	25.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	519	74.1%
1	181	25.9%

Most occurring characters

Value	Count	Frequency (%)
0	519	74.1%
1	181	25.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	519	74.1%
1	181	25.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	519	74.1%
1	181	25.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	700	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	519	74.1%
1	181	25.9%

_c39
Unsupported

Missing Rejected Unsupported

Missing	700
Missing (%)	100.0%
Memory size	5.6 KiB

Interactions

Correlations

	age	authorities_contacted	auto_make	auto_model	auto_year	bodily_injuries	capital-gains	capital-loss	collision_type	fraud_reported	incident_city	incident_hour_of_the_day	incident_severity	incident_state	incident_type	injury_claim	insured_education_level	insured_hobbies	insured_occupation	insured_relationship	insured_sex	insured_zip	months_as_customer	number_of_vehicles_involved	police_report_available	policy_annual_premium	policy_csl	policy_deductable	policy_number	policy_state	property_claim	property_damage	total_claim_amount	umbrella_limit	vehicle_claim	witnesses
age	1.000	0.000	0.000	0.000	-0.016	0.056	-0.050	0.004	0.071	0.072	0.000	0.114	0.074	0.000	0.000	0.054	0.000	0.000	0.000	0.048	0.015	-0.011	0.912	0.113	0.000	0.063	0.024	0.043	0.037	0.000	0.039	0.000	0.053	-0.002	0.043	0.016
authorities_contacted	0.000	1.000	0.086	0.038	0.077	0.000	0.000	0.000	0.280	0.090	0.038	0.120	0.216	0.000	0.278	0.281	0.000	0.000	0.000	0.011	0.069	0.000	0.000	0.050	0.047	0.032	0.052	0.031	0.000	0.000	0.264	0.000	0.291	0.000	0.276	0.000
auto_make	0.000	0.086	1.000	0.982	0.000	0.000	0.000	0.000	0.000	0.000	0.028	0.000	0.000	0.000	0.000	0.012	0.079	0.041	0.000	0.000	0.000	0.038	0.000	0.088	0.000	0.026	0.000	0.048	0.000	0.045	0.000	0.000	0.041	0.000	0.000	0.000
auto_model	0.000	0.038	0.982	1.000	0.030	0.000	0.036	0.000	0.000	0.074	0.056	0.000	0.000	0.038	0.111	0.000	0.023	0.011	0.000	0.000	0.000	0.039	0.000	0.135	0.027	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.037	0.000	0.000	0.000
auto_year	-0.016	0.077	0.000	0.030	1.000	0.061	0.025	-0.067	0.031	0.037	0.000	0.040	0.044	0.058	0.062	-0.015	0.045	0.000	0.056	0.046	0.020	-0.036	-0.032	0.064	0.000	-0.002	0.000	0.040	-0.011	0.000	0.020	0.000	-0.023	-0.006	-0.033	0.000
bodily_injuries	0.056	0.000	0.000	0.000	0.061	1.000	0.090	0.000	0.000	0.000	0.031	0.000	0.000	0.000	0.029	0.032	0.000	0.017	0.127	0.000	0.025	0.000	0.054	0.000	0.032	0.000	0.038	0.030	0.000	0.019	0.000	0.000	0.026	0.049	0.027	0.000
capital-gains	-0.050	0.000	0.000	0.036	0.025	0.090	1.000	-0.010	0.000	0.000	0.000	-0.061	0.017	0.000	0.066	0.045	0.036	0.068	0.000	0.000	0.078	0.044	-0.037	0.108	0.000	-0.026	0.000	0.000	-0.016	0.051	0.021	0.043	0.031	-0.044	0.023	0.060
capital-loss	0.004	0.000	0.000	0.000	-0.067	0.000	-0.010	1.000	0.051	0.000	0.050	-0.050	0.000	0.000	0.000	-0.056	0.061	0.000	0.000	0.087	0.046	0.065	0.024	0.000	0.060	0.012	0.000	0.000	-0.011	0.000	-0.038	0.000	-0.053	-0.041	-0.048	0.000
collision_type	0.071	0.280	0.000	0.000	0.031	0.000	0.000	0.051	1.000	0.172	0.034	0.276	0.429	0.086	0.576	0.530	0.047	0.037	0.048	0.036	0.000	0.000	0.000	0.229	0.025	0.000	0.077	0.000	0.052	0.000	0.542	0.000	0.578	0.000	0.577	0.052
fraud_reported	0.072	0.090	0.000	0.074	0.037	0.000	0.000	0.000	0.172	1.000	0.000	0.075	0.492	0.116	0.159	0.131	0.000	0.377	0.000	0.000	0.000	0.067	0.000	0.049	0.000	0.000	0.000	0.049	0.000	0.000	0.160	0.052	0.148	0.000	0.155	0.097
incident_city	0.000	0.038	0.028	0.056	0.000	0.031	0.000	0.050	0.034	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.021	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.035	0.000	0.102	0.000	0.000
incident_hour_of_the_day	0.114	0.120	0.000	0.000	0.040	0.000	-0.061	-0.050	0.276	0.075	0.000	1.000	0.201	0.000	0.270	0.180	0.019	0.000	0.000	0.042	0.000	0.005	0.103	0.113	0.000	0.023	0.000	0.088	0.011	0.000	0.164	0.040	0.176	-0.012	0.170	0.050
incident_severity	0.074	0.216	0.000	0.000	0.044	0.000	0.017	0.000	0.429	0.492	0.000	0.201	1.000	0.044	0.432	0.396	0.000	0.032	0.000	0.031	0.000	0.051	0.069	0.176	0.036	0.000	0.000	0.000	0.000	0.000	0.393	0.068	0.429	0.092	0.431	0.000
incident_state	0.000	0.000	0.000	0.038	0.058	0.000	0.000	0.000	0.086	0.116	0.000	0.000	0.044	1.000	0.041	0.000	0.000	0.084	0.000	0.054	0.054	0.066	0.000	0.044	0.065	0.041	0.000	0.000	0.000	0.000	0.045	0.040	0.020	0.054	0.028	0.000
incident_type	0.000	0.278	0.000	0.111	0.062	0.029	0.066	0.000	0.576	0.159	0.000	0.270	0.432	0.041	1.000	0.526	0.064	0.039	0.066	0.000	0.089	0.000	0.000	0.575	0.000	0.011	0.000	0.000	0.050	0.000	0.534	0.000	0.572	0.000	0.573	0.000
injury_claim	0.054	0.281	0.012	0.000	-0.015	0.032	0.045	-0.056	0.530	0.131	0.000	0.180	0.396	0.000	0.526	1.000	0.000	0.029	0.064	0.032	0.000	0.009	0.049	0.201	0.000	-0.004	0.048	0.073	-0.031	0.083	0.569	0.000	0.787	-0.060	0.673	0.011
insured_education_level	0.000	0.000	0.079	0.023	0.045	0.000	0.036	0.061	0.047	0.000	0.000	0.019	0.000	0.000	0.064	0.000	1.000	0.000	0.029	0.058	0.019	0.000	0.000	0.000	0.035	0.000	0.112	0.000	0.062	0.062	0.000	0.053	0.052	0.000	0.055	0.052
insured_hobbies	0.000	0.000	0.041	0.011	0.000	0.017	0.068	0.000	0.037	0.377	0.000	0.000	0.032	0.084	0.039	0.029	0.000	1.000	0.051	0.000	0.051	0.000	0.028	0.000	0.117	0.000	0.000	0.000	0.059	0.000	0.000	0.000	0.058	0.000	0.034	0.068
insured_occupation	0.000	0.000	0.000	0.000	0.056	0.127	0.000	0.000	0.048	0.000	0.000	0.000	0.000	0.000	0.066	0.064	0.029	0.051	1.000	0.000	0.000	0.102	0.000	0.000	0.034	0.031	0.069	0.101	0.000	0.000	0.000	0.000	0.051	0.033	0.067	0.068
insured_relationship	0.048	0.011	0.000	0.000	0.046	0.000	0.000	0.087	0.036	0.000	0.000	0.042	0.031	0.054	0.000	0.032	0.058	0.000	0.000	1.000	0.000	0.000	0.069	0.000	0.000	0.000	0.052	0.046	0.046	0.000	0.000	0.000	0.020	0.000	0.000	0.061
insured_sex	0.015	0.069	0.000	0.000	0.020	0.025	0.078	0.046	0.000	0.000	0.000	0.000	0.000	0.054	0.089	0.000	0.019	0.051	0.000	0.000	1.000	0.000	0.088	0.000	0.036	0.131	0.058	0.000	0.000	0.000	0.000	0.000	0.051	0.051	0.097	0.000
insured_zip	-0.011	0.000	0.038	0.039	-0.036	0.000	0.044	0.065	0.000	0.067	0.000	0.005	0.051	0.066	0.000	0.009	0.000	0.000	0.102	0.000	0.000	1.000	0.003	0.056	0.098	0.042	0.000	0.000	-0.022	0.045	-0.017	0.067	0.015	-0.028	0.005	0.000
months_as_customer	0.912	0.000	0.000	0.000	-0.032	0.054	-0.037	0.024	0.000	0.000	0.021	0.103	0.069	0.000	0.000	0.049	0.000	0.028	0.000	0.069	0.088	0.003	1.000	0.000	0.060	0.053	0.000	0.000	0.041	0.030	0.026	0.000	0.056	0.004	0.055	0.000
number_of_vehicles_involved	0.113	0.050	0.088	0.135	0.064	0.000	0.108	0.000	0.229	0.049	0.000	0.113	0.176	0.044	0.575	0.201	0.000	0.000	0.000	0.000	0.000	0.056	0.000	1.000	0.000	0.000	0.000	0.038	0.030	0.000	0.207	0.042	0.235	0.000	0.236	0.012
police_report_available	0.000	0.047	0.000	0.027	0.000	0.032	0.000	0.060	0.025	0.000	0.000	0.000	0.036	0.065	0.000	0.000	0.035	0.117	0.034	0.000	0.036	0.098	0.060	0.000	1.000	0.062	0.053	0.000	0.000	0.068	0.000	0.000	0.041	0.088	0.051	0.000
policy_annual_premium	0.063	0.032	0.026	0.000	-0.002	0.000	-0.026	0.012	0.000	0.000	0.000	0.023	0.000	0.041	0.011	-0.004	0.000	0.000	0.031	0.000	0.131	0.042	0.053	0.000	0.062	1.000	0.088	0.033	0.010	0.000	0.035	0.077	0.031	0.027	0.044	0.000
policy_csl	0.024	0.052	0.000	0.000	0.000	0.038	0.000	0.000	0.077	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.112	0.000	0.069	0.052	0.058	0.000	0.000	0.000	0.053	0.088	1.000	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.052
policy_deductable	0.043	0.031	0.048	0.000	0.040	0.030	0.000	0.000	0.000	0.049	0.000	0.088	0.000	0.000	0.000	0.073	0.000	0.000	0.101	0.046	0.000	0.000	0.000	0.038	0.000	0.033	0.000	1.000	0.000	0.047	0.056	0.000	0.116	0.000	0.036	0.000
policy_number	0.037	0.000	0.000	0.000	-0.011	0.000	-0.016	-0.011	0.052	0.000	0.000	0.011	0.000	0.000	0.050	-0.031	0.062	0.059	0.000	0.046	0.000	-0.022	0.041	0.030	0.000	0.010	0.075	0.000	1.000	0.000	0.007	0.027	-0.015	0.004	-0.021	0.000
policy_state	0.000	0.000	0.045	0.000	0.000	0.019	0.051	0.000	0.000	0.000	0.049	0.000	0.000	0.000	0.000	0.083	0.062	0.000	0.000	0.000	0.000	0.045	0.030	0.000	0.068	0.000	0.000	0.047	0.000	1.000	0.000	0.000	0.000	0.034	0.000	0.045
property_claim	0.039	0.264	0.000	0.049	0.020	0.000	0.021	-0.038	0.542	0.160	0.000	0.164	0.393	0.045	0.534	0.569	0.000	0.000	0.000	0.000	0.000	-0.017	0.026	0.207	0.000	0.035	0.000	0.056	0.007	0.000	1.000	0.056	0.793	-0.020	0.680	0.000
property_damage	0.000	0.000	0.000	0.000	0.000	0.000	0.043	0.000	0.000	0.052	0.035	0.040	0.068	0.040	0.000	0.000	0.053	0.000	0.000	0.000	0.000	0.067	0.000	0.042	0.000	0.077	0.000	0.000	0.027	0.000	0.056	1.000	0.000	0.062	0.000	0.000
total_claim_amount	0.053	0.291	0.041	0.037	-0.023	0.026	0.031	-0.053	0.578	0.148	0.000	0.176	0.429	0.020	0.572	0.787	0.052	0.058	0.051	0.020	0.051	0.015	0.056	0.235	0.041	0.031	0.000	0.116	-0.015	0.000	0.793	0.000	1.000	-0.053	0.963	0.000
umbrella_limit	-0.002	0.000	0.000	0.000	-0.006	0.049	-0.044	-0.041	0.000	0.000	0.102	-0.012	0.092	0.054	0.000	-0.060	0.000	0.000	0.033	0.000	0.051	-0.028	0.004	0.000	0.088	0.027	0.000	0.000	0.004	0.034	-0.020	0.062	-0.053	1.000	-0.049	0.029
vehicle_claim	0.043	0.276	0.000	0.000	-0.033	0.027	0.023	-0.048	0.577	0.155	0.000	0.170	0.431	0.028	0.573	0.673	0.055	0.034	0.067	0.000	0.097	0.005	0.055	0.236	0.051	0.044	0.000	0.036	-0.021	0.000	0.680	0.000	0.963	-0.049	1.000	0.014
witnesses	0.016	0.000	0.000	0.000	0.000	0.000	0.060	0.000	0.052	0.097	0.000	0.050	0.000	0.000	0.000	0.011	0.052	0.068	0.068	0.061	0.000	0.000	0.000	0.012	0.000	0.000	0.052	0.000	0.000	0.045	0.000	0.000	0.000	0.029	0.014	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	months_as_customer	age	policy_number	policy_bind_date	policy_state	policy_csl	policy_deductable	policy_annual_premium	umbrella_limit	insured_zip	insured_sex	insured_education_level	insured_occupation	insured_hobbies	insured_relationship	capital-gains	capital-loss	incident_date	incident_type	collision_type	incident_severity	authorities_contacted	incident_state	incident_city	incident_location	incident_hour_of_the_day	number_of_vehicles_involved	property_damage	bodily_injuries	witnesses	police_report_available	total_claim_amount	injury_claim	property_claim	vehicle_claim	auto_make	auto_model	auto_year	fraud_reported	_c39
0	187	37	125591	2013-08-08	IN	500/1000	1000	1412.06	5000000	450947	FEMALE	Masters	protective-serv	reading	not-in-family	60100	0	2015-01-16	Single Vehicle Collision	Side Collision	Total Loss	Ambulance	NC	Riverwood	7082 Oak Ridge	21	1	?	0	3	?	57700	5770	5770	46160	Nissan	Maxima	2000	0	NaN
1	243	44	967713	1997-12-25	IL	250/500	500	809.11	0	600208	MALE	JD	craft-repair	polo	other-relative	33200	0	2015-01-27	Multi-vehicle Collision	Side Collision	Minor Damage	Other	NC	Springfield	9352 Washington Ave	4	3	?	2	1	YES	51400	5140	10280	35980	Honda	Civic	1996	0	NaN
2	24	33	649082	1996-01-19	IL	500/1000	1000	1922.84	0	431277	FEMALE	High School	machine-op-inspct	skydiving	wife	0	-45200	2015-01-24	Single Vehicle Collision	Side Collision	Total Loss	Police	WV	Northbend	5061 Francis Ave	0	1	?	2	1	NO	46800	4680	9360	32760	Jeep	Wrangler	2002	0	NaN
3	215	42	519312	2008-10-28	OH	500/1000	500	1848.81	0	435489	MALE	JD	transport-moving	video-games	own-child	0	-49000	2015-02-06	Multi-vehicle Collision	Front Collision	Major Damage	Fire	WV	Northbend	2457 Washington Ave	20	3	YES	2	2	YES	68520	11420	5710	51390	Suburu	Legacy	2003	1	NaN
4	85	30	190588	2001-12-09	OH	100/300	1000	796.35	0	614166	FEMALE	MD	craft-repair	video-games	own-child	72400	-77000	2015-02-20	Multi-vehicle Collision	Rear Collision	Total Loss	Fire	SC	Northbend	2290 4th Ave	9	3	YES	2	1	YES	58960	5360	10720	42880	Ford	F150	2004	0	NaN
5	310	48	670142	1999-08-06	IN	100/300	500	1516.34	0	474167	FEMALE	JD	adm-clerical	sleeping	unmarried	11000	0	2015-01-04	Multi-vehicle Collision	Rear Collision	Major Damage	Police	SC	Springfield	2823 Weaver Lane	11	4	YES	0	2	NO	59400	13200	6600	39600	Saab	93	1996	1	NaN
6	297	48	751612	2009-06-22	IN	250/500	1000	1464.73	3000000	443861	MALE	PhD	exec-managerial	golf	other-relative	54900	-36700	2015-01-25	Multi-vehicle Collision	Side Collision	Total Loss	Fire	NY	Arlington	8758 5th St	17	3	?	0	0	NO	51480	5720	5720	40040	Toyota	Highlander	2013	0	NaN
7	108	29	237418	2007-12-04	IN	500/1000	1000	1337.92	0	441536	FEMALE	PhD	armed-forces	bungie-jumping	not-in-family	71400	0	2015-02-23	Multi-vehicle Collision	Side Collision	Minor Damage	Ambulance	WV	Columbus	7684 Francis Ridge	4	3	NO	2	2	YES	61380	11160	5580	44640	Suburu	Legacy	2012	0	NaN
8	46	41	315041	2010-11-02	OH	100/300	2000	998.19	0	611556	FEMALE	MD	priv-house-serv	video-games	husband	43700	-66300	2015-01-23	Multi-vehicle Collision	Rear Collision	Total Loss	Ambulance	SC	Hillsdale	5779 2nd Lane	23	3	NO	1	3	?	78600	13100	19650	45850	Dodge	RAM	2004	1	NaN
9	286	41	507545	1998-12-07	IL	250/500	1000	1298.85	6000000	435967	FEMALE	High School	sales	camping	other-relative	71300	-70300	2015-01-04	Multi-vehicle Collision	Front Collision	Major Damage	Ambulance	NY	Columbus	6859 Flute Ridge	16	3	?	1	3	YES	54450	6050	12100	36300	Saab	92x	2007	0	NaN

	months_as_customer	age	policy_number	policy_bind_date	policy_state	policy_csl	policy_deductable	policy_annual_premium	umbrella_limit	insured_zip	insured_sex	insured_education_level	insured_occupation	insured_hobbies	insured_relationship	capital-gains	capital-loss	incident_date	incident_type	collision_type	incident_severity	authorities_contacted	incident_state	incident_city	incident_location	incident_hour_of_the_day	number_of_vehicles_involved	property_damage	bodily_injuries	witnesses	police_report_available	total_claim_amount	injury_claim	property_claim	vehicle_claim	auto_make	auto_model	auto_year	fraud_reported	_c39
690	156	37	371635	1991-10-13	OH	500/1000	1000	1086.48	6000000	444903	MALE	Associate	machine-op-inspct	hiking	unmarried	0	-53800	2015-01-16	Multi-vehicle Collision	Rear Collision	Total Loss	Other	NY	Northbrook	8064 4th Ave	17	3	?	1	1	YES	77440	14080	7040	56320	Suburu	Legacy	1999	0	NaN
691	223	40	729634	1994-04-28	IN	100/300	500	1201.41	0	437818	FEMALE	JD	priv-house-serv	movies	husband	88400	-46500	2015-01-27	Multi-vehicle Collision	Side Collision	Major Damage	Police	NC	Columbus	7466 MLK Ridge	7	3	YES	1	0	?	70510	12820	12820	44870	Suburu	Forrestor	1999	0	NaN
692	243	43	367595	2006-02-03	IN	500/1000	500	1307.74	0	466137	FEMALE	Associate	machine-op-inspct	board-games	own-child	0	-75700	2015-01-28	Multi-vehicle Collision	Front Collision	Major Damage	Ambulance	SC	Riverwood	6451 1st Hwy	10	3	?	0	1	NO	37530	4170	4170	29190	Jeep	Wrangler	2008	0	NaN
693	275	45	403737	1991-12-06	IN	500/1000	2000	1447.77	0	605756	FEMALE	Associate	adm-clerical	camping	wife	39400	-63900	2015-01-18	Multi-vehicle Collision	Side Collision	Total Loss	Ambulance	VA	Northbend	3835 5th Ave	8	3	YES	1	1	?	64320	5360	10720	48240	Accura	MDX	1998	0	NaN
694	88	25	332892	2007-10-25	IN	250/500	1000	1194.00	0	613583	FEMALE	JD	handlers-cleaners	movies	husband	0	0	2015-02-13	Single Vehicle Collision	Rear Collision	Major Damage	Ambulance	SC	Northbrook	3982 Washington Hwy	6	1	YES	1	2	YES	66780	7420	7420	51940	Ford	Escape	2013	1	NaN
695	199	37	982871	1997-07-27	IN	250/500	500	1262.08	0	474615	MALE	JD	tech-support	video-games	wife	48500	0	2015-01-08	Single Vehicle Collision	Front Collision	Major Damage	Ambulance	NC	Columbus	3422 Flute St	4	1	?	0	3	NO	60170	10940	10940	38290	Nissan	Pathfinder	2011	1	NaN
696	232	43	751905	2001-05-16	OH	250/500	500	1483.91	8000000	431531	MALE	College	machine-op-inspct	golf	husband	0	-33600	2015-01-18	Multi-vehicle Collision	Rear Collision	Major Damage	Ambulance	NY	Arlington	2318 Washington Hwy	17	3	NO	0	1	?	70600	7060	14120	49420	Volkswagen	Passat	2013	1	NaN
697	215	37	761189	2002-12-28	IN	100/300	500	1632.93	0	614417	FEMALE	College	transport-moving	golf	not-in-family	0	-42900	2015-02-23	Multi-vehicle Collision	Rear Collision	Minor Damage	Fire	SC	Riverwood	7923 Elm Ave	7	3	NO	2	0	YES	57120	9520	4760	42840	Mercedes	C300	2002	0	NaN
698	270	44	701521	2003-07-05	IL	500/1000	2000	1030.95	0	435985	FEMALE	Associate	machine-op-inspct	paintball	other-relative	47200	0	2015-02-03	Multi-vehicle Collision	Rear Collision	Major Damage	Ambulance	NC	Northbend	2865 Maple Lane	20	3	?	1	0	NO	35900	7180	3590	25130	Audi	A3	2007	1	NaN
699	269	45	596298	1996-08-23	IN	500/1000	500	1330.46	0	435552	FEMALE	High School	machine-op-inspct	sleeping	wife	54800	-64100	2015-01-18	Multi-vehicle Collision	Side Collision	Total Loss	Police	VA	Hillsdale	2220 1st Lane	5	3	?	0	0	NO	24200	2200	4400	17600	Suburu	Forrestor	2008	0	NaN

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values